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Achievements

Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

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omidcodes/README.md

🙋‍♂️ About Me

🙋‍♂️ Hi, I’m Omid Hashemzadeh - a backend software developer based in the UK, with 5+ years of experience building reliable backend systems.

🧑‍💻 I mainly work with Python, Django, FastAPI, and REST APIs, and I care a lot about clean design, maintainable code, testing, and scalability. I enjoy building services that are practical, production-ready, and easier for teams to work on over time.

⚙️ I like thinking beyond just implementation. Understanding the problem, making sensible technical decisions, and building solutions that work well for both users and the business.

📣 I enjoy collaborating with others, taking ownership of problems, and continuously learning through real projects and software challenges.

🛠 Tech Stack:

Python Django PostgreSQL Docker Git Linux

🌍 Connect with Me:

📊 Stats:

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  1. taskflow-api taskflow-api Public

    Task manager REST API—Django 5, DRF, Celery, PostgreSQL, Docker.

    Python 11

  2. photo-sharing-app photo-sharing-app Public

    📷 Photo Sharing Web App (Django) A lightweight, Instagram-style web application built with Django that allows users to upload pictures, comment, and rate images with Azure, CI/CD. Features include …

    Python 10

  3. django-request-replay django-request-replay Public

    🔄 A Django middleware to record, track, persist, and replay API requests - enabling state restoration and precise debugging in volatile or reset-prone systems.

    Python 9

  4. LinuxStatAPI LinuxStatAPI Public

    FastAPI project to monitor Linux system info (CPU, memory, disk, network)

    Python 10

  5. bigdata-education-nutrition bigdata-education-nutrition Public

    📊 Big Data analysis project exploring the relationship between educational attainment and nutrition quality using Hadoop, Hive, and Zeppelin on a US-wide health dataset.

    HiveQL 8

  6. ML-heart-disease-prediction ML-heart-disease-prediction Public

    Machine learning project using the Kaggle Heart Disease Health Indicators dataset to predict heart disease risk. Covers preprocessing, EDA, and training models (Logistic Regression, Random Forest, …

    Jupyter Notebook 8